Paper Info
Title
Analysis within and between graphs: observed user strategies in immunobiology visualization
Abstract
We present an analysis of two user strategies in interactive data analysis, based on an observational study of four researchers in the immunology domain. Screen captures, video records, interviews, and verbal protocols are used to analyze common procedures in this type of visual data analysis, as well as how these procedures differ among these users. Our findings present a case where skilled users can approach a similar problem with diverging analysis strategies. In the group we observed, strategies fell within two broad categories: within-graph analysis, in which a user generates a few graph layouts and interacts heavily within them, and between-graph analysis, in which a user generates a series of graphs and switches between them in sequence. Differences in strategies lead to distinct interaction patterns, and are likely to be best supported by different interface designs. We characterize these observed strategies and discuss their implications for scientific visualization design and evaluation.
Year
DOI
Venue
2012
10.1145/2207676.2208291
CHI
Keywords
Field
DocType
immunobiology visualization,common procedure,user strategy,observed strategy,observed user strategy,broad category,within-graph analysis,skilled user,interactive data analysis,analysis strategy,visual data analysis,between-graph analysis,interface design,observational study,scientific visualization,data analysis,task analysis,immunology,visualization
Graph,Observational study,Task analysis,Computer science,Visualization,Common procedures,Human–computer interaction,Scientific visualization
Conference
Citations 
PageRank 
References 
5
0.50
4
Authors
3
Name
Order
Citations
PageRank
Caroline Ziemkiewicz138624.47
Steven R. Gomez2516.66
David H. Laidlaw31781234.58